| event_date | event_type | actor1 | admin1 | source |
|---|---|---|---|---|
| 05 March 2021 | Protests | Protesters (Armenia) | Yerevan | A1+ |
| 05 March 2021 | Protests | Protesters (Armenia) | Shirak | Factor |
| 04 March 2021 | Protests | Protesters (Azerbaijan) | Yerevan | A1+ |
| 04 March 2021 | Protests | Protesters (Armenia) | Yerevan | A1+ |
| 03 March 2021 | Protests | Protesters (Armenia) | Shirak | Factor |
Names of the available columns in the dataset
## [1] "data_id" "iso" "event_id_cnty" "event_id_no_cnty"
## [5] "event_date" "year" "time_precision" "event_type"
## [9] "sub_event_type" "actor1" "assoc_actor_1" "inter1"
## [13] "actor2" "assoc_actor_2" "inter2" "interaction"
## [17] "region" "country" "admin1" "admin2"
## [21] "admin3" "location" "latitude" "longitude"
## [25] "geo_precision" "source" "source_scale" "notes"
## [29] "fatalities" "timestamp" "iso3"
Number of unique events that are specified in the data set
As seen there are only 3 types of events in 2021, while in previous years there were more
## [1] "Protests" "Riots"
## [3] "Explosions/Remote violence"
The main actors of said events
## [1] "Protesters (Armenia)" "Protesters (Azerbaijan)"
## [3] "Rioters (Armenia)" "Unidentified Military Forces"
The plot below shows the types of the evnets and where they occur. Note that many of the locations are approximated to the nearest city or village
Number of the events that have occured
## <<TermDocumentMatrix (terms: 487, documents: 86)>>
## Non-/sparse entries: 2070/39812
## Sparsity : 95%
## Maximal term length: 15
## Weighting : term frequency (tf)
## Sample :
## Docs
## Terms 11 18 2 20 24 26 28 62 69 71
## armenia 3 1 2 1 2 1 2 1 1 1
## demand 1 1 1 1 0 1 0 0 1 0
## februari 0 1 0 1 1 1 1 1 0 0
## march 4 1 1 1 0 1 0 0 0 0
## minist 2 2 1 3 1 1 0 0 1 0
## prime 2 2 1 3 0 1 0 0 1 0
## protest 7 2 2 5 1 2 2 3 0 1
## report 0 1 2 0 1 1 1 0 1 1
## sizeno 0 1 1 0 1 1 1 0 1 1
## yerevan 4 1 0 1 1 2 1 1 1 1